Cristina Dos Santos, F., D’Agostino, F., Härkönen, M., Nantschev, R., Christensen, B., Müller-Staub, M., & De Groot, K. (2024). Improving the quality of nursing care through standardized nursing languages: Call to action across European countries. International Journal of Medical Informatics, 192, 105627. https://doi.org/10.1016/j.ijmedinf.2024.105627

Davoudi, A., Chae, S., Evans, L., Sridharan, S., Song, J., Bowles, K. H., McDonald, M. V., & Topaz, M. (2024). Fairness gaps in Machine learning models for hospitalization and emergency department visit risk prediction in home healthcare patients with heart failure. International Journal of Medical Informatics, 191, 105534. https://doi.org/10.1016/j.ijmedinf.2024.105534

Hahn, A. L., Michaels, C. L., Khawly, G., Nichols, T. K., Baez, P., Ozoria Ramirez, S., Juarez Padilla, J., Stonbraker, S., Olender, S., & Schnall, R. (2024). Comparison of evaluation methods for improving the usability of a Spanish mHealth tool. International Journal of Medical Informatics, 184, 105355. https://doi.org/10.1016/j.ijmedinf.2024.105355

Dos Santos, F. C., Macieira, T. G. R., Yao, Y., Ardelt, M., & Keenan, G. M. (2024). The impact of spiritual care delivered by nurses on patients’ comfort: A propensity score matched cohort utilizing electronic health record data. International Journal of Medical Informatics, 183, 105319. https://doi.org/10.1016/j.ijmedinf.2023.105319

Elkefi, S., & Asan, O. (2023). The health information technology preferences and perceptions of newly diagnosed patients with cancer. International Journal of Medical Informatics, 180, 105275. https://doi.org/10.1016/j.ijmedinf.2023.105275

Zolnoori, M., Barrón, Y., Song, J., Noble, J., Burgdorf, J., Ryvicker, M., & Topaz, M. (2023). HomeADScreen: Developing Alzheimer’s disease and related dementia risk identification model in home healthcare. International Journal of Medical Informatics, 177, 105146. https://doi.org/10.1016/j.ijmedinf.2023.105146

Palmieri, V., Montisci, A., Vietri, M. T., Colombo, P. C., Sala, S., Maiello, C., Coscioni, E., Donatelli, F., & Napoli, C. (2023). Artificial intelligence, big data and heart transplantation: Actualities. International Journal of Medical Informatics, 176, 105110. https://doi.org/10.1016/j.ijmedinf.2023.105110

Idnay, B., Fang, Y., Dreisbach, C., Marder, K., Weng, C., & Schnall, R. (2023). Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment. International Journal of Medical Informatics, 171, 104985. https://doi.org/10.1016/j.ijmedinf.2023.104985

Hobensack, M., Song, J., Scharp, D., Bowles, K. H., & Topaz, M. (2023). Machine learning applied to electronic health record data in home healthcare: A scoping review. International Journal of Medical Informatics, 170, 104978. https://doi.org/10.1016/j.ijmedinf.2022.104978

Mangal, S., Niño de Rivera, S., Choi, J., Reading Turchioe, M., Benda, N., Sharko, M., Myers, A., Goyal, P., Dugdale, L., & Masterson Creber, R. (2023). Returning study results to research participants: Data access, format, and sharing preferences. International Journal of Medical Informatics, 170, 104955. https://doi.org/10.1016/j.ijmedinf.2022.104955

Loh, K. P., Liu, J., Ganzhorn, S., Sanabria, G., & Schnall, R. (2022). Establishing a usability cut-point for the health information technology usability evaluation scale (Health-ITUES). International Journal of Medical Informatics, 160, 104713. https://doi.org/10.1016/j.ijmedinf.2022.104713